Study on Human-Variability-Respecting Optimal Control Affecting Human Interaction Experience

TL;DR

This paper introduces a novel human-variability-respecting optimal control approach for human-machine interaction, emphasizing the importance of accounting for natural human motor variability to improve interaction experience.

Contribution

The study presents a new control design that incorporates human motor variability, tested through simulation, advancing human-centered control strategies in HMI.

Findings

Promising simulation results for human variability-respecting control

Potential for improved human interaction experience

Framework suitable for larger-scale human subject studies

Abstract

Broad application of human-machine interaction (HMI) demands advanced and human-centered control designs for the machine's automation. Human natural motor action shows stochastic behavior, which has so far not been respected in HMI control designs. Using a previously presented novel human-variability-respecting optimal controller we present a study design which allows the investigation of respecting human natural variability and its effect on human interaction experience. Our approach is tested in simulation based on an identified real human subject and presents a promising approach to be used for a larger subject study.